A model for measuring research capacity using an intellectual capital-based approach in a Colombian higher education institution 1 Ing. Jenny Marcela Sánchez, PhD Consultant for the Main Research’s Office Assistant professor Engineering School. National University of Colombia Carolina Rivera. MSc Consultant for the Main Research’s Office 1 This paper is a result of an institutional initiative sponsored by UNAL Main Research office, and it is a component of the building research capacities program defined by the Global Development Planning 2007 -2009 of National University of Colombia Agenda Background 1. Methodology 2. Conceptual frame- work 3. Model 4. Test and results 5.
1- Background � Knowledge Society generates challenges for Colombian Society � Improve Colombia’s levels of competitiveness and productivity. � Colombia requires profound productive and social transformation. � Colombian Universities have thus become the fundamental support for achieving such productive transformation � Generating knowledge endowing added value to those goods and services which the country has opted � Universities are the main actor in the NSTIS (OCyT,2008) � 3,322 active research groups SCienTI platform � 3,090 Universities 1,416 groups belong to private Universities � 1,674 to public universties Hypothesis - Objective � Hypothesis � Knowledge Society Challenges for Colombian Society � Can universities contribute towards developing products: goods and services having high added-value in determined economic sectors from the basis of those knowledge- generating processes which they are advancing? � What are Colombian universities’ capacities in terms of generating knowledge? � How can Colombian universities give an account of knowledge-generating and -transmitting processes? � Objective � Present a model to measure research capacity of universities in Colombia using an approach based on intellectual capital to try to answer Knowledge Society challenges
2- Methodology Conceptual Frame Work Capacity Concepts Analysis different R&D indicators systems: National and International Feedback for the model Intellectual Capital Concepts Model for measuring research capacity using an intellectual capital-based Test the model in a Colombian higher education institution Feedback for UNAL 3- Conceptual Frame-Work SC Refers to the infrastructure incorporating, HC The know-how, knowledge, preparing and sustaining HC. This includes the abilities, values and attitudes of the set of knowledge which is basically an people working in the university . organisation’s property and stays there in spite (Roos, Roos, Edvinsson and Dragonetti, 1997; Sveiby, 2001; of people leaving it, the organisational capacity Jaramillo and Forero, 2001; MERITUM project, 2002). it has regarding physical aspects used for transmitting and storing intellectual material (Edvinsson and Malone, 1997; the MERITUM project, 2002; CIC, 2003). RC The university’s set of external Capacities understood as being that which it is known how to do, relationships. including personnel, organisational, technological and structural (Roos et al., 1997; Stewart, 1997 capacities providing an organisation’s activities with value and Brooking, 1996 cited by Tan et al (2008); Euroforum, 1998; Sánchez, Chaminade and Olea , The paradigm of generating capacities as a way of evaluating 2000; MERITUM project, 2002). research being centred on the impact of financing R&D projects, forming scientific human capital in their social aggregates and generating new uses of knowledge (Bozeman and Dietz, 2001) HC – RC –SC continued interaction (Lopez et al, 2004)
Conceptual Frame-Work Constructing institutional capacities reflects � accumulative dynamics of knowledge Based on R&D indicators systems: international EUO, � OECD and RiCyT and Colombian experiences ( SUE public universities performance , OCyT and CNA ) Based on international – EOU, Austrian, Spanish: OEU,2005, European � Commission, 2006, Sánchez and Elena, 2006 - and Colombian Intellectual Capital approach using on Universities - Ballesteros and Ballesteros,2004, Medina et al 2007, Rivera, 2007, Bucheli and Villaveces,2007. Evaluating research capacity is a process which, � depending on the availability of information, will be applied in phases Propose a suitable alternative for measuring � universities capacity regarding research through thematic areas or economic sectors . 4- Model 43 indicators, 33 research activities, 4 formation activities 6 to third mission activities
5- Test and Results � Reporting research capacity through IC � Constructing base-lines for years in the present decade � Identifying UNAL’s scientific profile in its set and in each of its sites, without the detriment of possibly having to descend to faculty or basic academic unit level � Constructing an initial map of capacities for specific areas of knowledge from national and regional referents and break the data down according to the composition of the HEI structure � Research management � Feedback and learning processes Human capital Number of active researchers involved in HEI � Number of active researchers / Number of full-time teachersTeachers’ time � dedicated to research Number of administrative personnel involved in research groups or research � projects Number of HEI research groups classified by COLCIENCIAS � Number of research group members (researchers, students) � Total economic resources for research/ number of active researchers � Number of undergraduate and postgraduate research assistant students � Number of PhD-MSC/MA- specialisation-specialty and undergraduate students � Entry rate for PhD, MSC/MA, specialisation, specialty and undergraduate � programmes Number of postgraduate study-grants / Number of postgraduate students �
Human Capital: Researchers Constructing base-lines for years in the present decade 842 research groups 577 research groups categorized by Colciencias 7286 researchers belongs to research 1828 Professors groups belong to research 2993 Professors groups belong to UNAL 4368 researchers have or have had a link with 22% PhD UN (as professors or 42% M Sc students) Fuente: VRI, 2009 368 Foreigners Professors Structural capital (I) Number of projects presented to state financing entities discriminated by � institution (COLCIENCIAS-MADR, Ministries, Banco de la Republica, etc). Approved cf non-approved Number of research projects leading to support from national and international � processes for drawing up norms’ commissions, participating in formulating long- term programmes, public policy studies Total economic resources for research (own+public+private) discriminated by � items. Total budget appropriated-executed (expenses for personnel is not included) � Total economic resources destined for teachers’ PhD formation Economic � resources awarded cf economic resources requested for financing projects Private and public sector economic resources supporting research and � extension projects (value of contracts with private and public sectors) Public sector economic resources supporting research projects/ total economic � resources for research Private sector economic resources supporting research projects/ total economic � resources for research
Structural capital (II) � Number of research projects. � Number of Products or results generating new knowledge � Technical and natural areas � Human, Socials and Arts � Number of products arising from a group’s research activities related to forming researchers � Number of products related to extending a group’s research activities and their results: social appropriation of knowledge � Number of articles published per institution in indexed journals � Number of articles from an HEI in expanded ISI � Number of citations of articles by an HEI � Number of citations of articles from an HEI in ISI � Number of requests for registering HEI intellectual property Structural capital: Structural capital: scientific scientific production production Products without registry Products are registred on Special analyst SCienTI To Web of Science – ISI Products PUBLINDEX With points WoS Products without points
Products Types Structural capital Structural capital Constructing time series for years in Constructing time series for years in the present decade: articles, patents, the present decade: articles, patents, Products by year project and so on project and so on Academic products Branch BOGOTÁ Articles, Books Products Arts Products Dissertation Products Proceedings Products Identifying UNAL Identifying UNAL’ ’s s scientific profile scientific profile Source: VRI (2009) based on ScienTI - Colciencias. Relational capital � Number of HEI teachers in other institutions � Number of teachers not belonging to HEI / visitors � Number of teachers-researchers participating in networks / number of teachers-researchers � Number of external recognitions, prizes and distinctions awarded for an institution’s research work � Number of spin-off companies � Number of networks in which HEI researchers participate � Number of graduate works involved with the production sector � Number of intellectual property requests registered with other institutions � Number of research projects discriminated by beneficiary
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